Michał Gabrysiak created SPARK-11588: ----------------------------------------
Summary: Submitting of Spark (Streaming) Job and killing/stopping of them Key: SPARK-11588 URL: https://issues.apache.org/jira/browse/SPARK-11588 Project: Spark Issue Type: Question Components: Spark Core, Spark Submit Affects Versions: 1.5.1 Environment: Centos 6.7 Reporter: Michał Gabrysiak While searching for the possibility of submitting of the Spak Job on the side of the cluster I found this article http://arturmkrtchyan.com/apache-spark-hidden-rest-api. I used them (Spark REST API) and I thin it's working fine. I have a few question for this API: 1. I can't find information about this REST API in Spark documentation. Why? Why this api is hidden? 2. If I want to use this REST API in my code can I start Spark into YARN? So I want to know if YARN (or Mesos) cluster is supported? 3. How I can run driver on the cluster side (other possibilities than REST API) programmatically from code? When I create SparkContext I can use "spark.submit.deployMode" flag (set to "cluster") but I have the impression that the driver operates locally. Second group of the questions (about killing of driver). When I start driver on the cluster side I see information about this on Spark UI (see screen1.png). But when I press "(kill)" link/button driver is still running. I saerched information how to kill drivers and I found this option: a) bin/spark-class org.apache.spark.deploy.Client kill <spark-master> <driver-id> but i got information that Client is deprecated b) spark-subbmit --kill <spark-master> <driver-id> dosn't work c) using spark REST API I got the same message as in point b but driver is still running d) ps -aux | grep <driver-id> + kill -9 pid_of_driver works but it is not a good solution (I want to stop driver programmatically) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org